Metal-Organic Frameworks for Macromolecular Recognition and Separation
書誌事項
- 公開日
- 2020-09
- 資源種別
- journal article
- 権利情報
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- https://www.elsevier.com/tdm/userlicense/1.0/
- https://www.elsevier.com/legal/tdmrep-license
- http://www.elsevier.com/open-access/userlicense/1.0/
- DOI
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- 10.1016/j.matt.2020.06.013
- 公開者
- Elsevier BV
この論文をさがす
説明
Summary Selective molecular adsorption using metal-organic frameworks (MOFs) has been firmly established as an effective technique in modern separation science. However, polymer insertion into MOFs remains inadequately investigated, probably owing to the large conformational disadvantages commonly associated with spontaneous intercalation processes. Meanwhile, it has been demonstrated that in situ formation of polymers is possible in well-designed nanochannels of MOFs. Being able to take full advantage of the polymer intercalation mechanism would help us devise powerful macromolecular recognition and separation technologies with unprecedented selectivity. Here, we discuss the prospects of polymer recognition using programmed MOF nanospaces, which can be realized via selective intercalation of polymer chains in MOF hosts. Designing nanosized porous MOFs with a regular arrangement of reactive/interactive/responsive entities offers the possibility of universal polymer recognition that cannot be accomplished by conventional methods.
収録刊行物
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- Matter
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Matter 3 (3), 652-663, 2020-09
Elsevier BV
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詳細情報 詳細情報について
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- CRID
- 1360009142884278784
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- ISSN
- 25902385
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
- OpenAIRE